TY - GEN
T1 - Directional field synthesis, design, and processing
AU - Vaxman, A.
AU - Campen, M.
AU - Diamanti, O.
AU - Panozzo, D.
AU - Bommes, D.
AU - Hildebrandt, K.
AU - Ben-Chen, M.
N1 - Funding Information:
The authors would like to thank Olga Sorkine-Hornung and Keenan Crane for their insightful comments, Marco Tarini, Nico Pietroni, Wenzel Jakob and Kevin Wallimann for contributing their implementations. This work was supported in part by the ERC Starting Grant iModel (StG-2012-306877), the German Research Foundation (DFG grant GSC 111 Aachen Institute for Advanced Study in Computational Engineering Science), ISF grant 699/12, and Marie Curie CIG 303511.
PY - 2016/11/28
Y1 - 2016/11/28
N2 - Direction fields and vector fields play an increasingly important role in computer graphics and geometry processing. The synthesis of directional fields on surfaces, or other spatial domains, is a fundamental step in numerous applications, such as mesh generation, deformation, texture mapping, and many more. The wide range of applications resulted in definitions for many types of directional fields: from vector and tensor fields, over line and cross fields, to frame and vector-set fields. Depending on the application at hand, researchers have used various notions of objectives and constraints to synthesize such fields. These notions are defined in terms of fairness, feature alignment, symmetry, or field topology, to mention just a few. To facilitate these objectives, various representations, discretizations, and optimization strategies have been developed. These choices come with varying strengths and weaknesses. This course provides a systematic overview of directional field synthesis for graphics applications, the challenges it poses, and the methods developed in recent years to address these challenges.
AB - Direction fields and vector fields play an increasingly important role in computer graphics and geometry processing. The synthesis of directional fields on surfaces, or other spatial domains, is a fundamental step in numerous applications, such as mesh generation, deformation, texture mapping, and many more. The wide range of applications resulted in definitions for many types of directional fields: from vector and tensor fields, over line and cross fields, to frame and vector-set fields. Depending on the application at hand, researchers have used various notions of objectives and constraints to synthesize such fields. These notions are defined in terms of fairness, feature alignment, symmetry, or field topology, to mention just a few. To facilitate these objectives, various representations, discretizations, and optimization strategies have been developed. These choices come with varying strengths and weaknesses. This course provides a systematic overview of directional field synthesis for graphics applications, the challenges it poses, and the methods developed in recent years to address these challenges.
UR - http://www.scopus.com/inward/record.url?scp=85007227402&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85007227402&partnerID=8YFLogxK
U2 - 10.1145/2988458.2988478
DO - 10.1145/2988458.2988478
M3 - Conference contribution
AN - SCOPUS:85007227402
T3 - SA 2016 - SIGGRAPH ASIA 2016 Courses
BT - SA 2016 - SIGGRAPH ASIA 2016 Courses
PB - Association for Computing Machinery, Inc
T2 - 2016 SIGGRAPH ASIA Courses, SA 2016
Y2 - 5 December 2016 through 8 December 2016
ER -